Title :
An effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery
Author :
Bhushan, D.B. ; Sowmya, V. ; Manikandan, M. Sabarimalai ; Soman, K.P.
Author_Institution :
Indian Inst. of Space Sci. & Technol., Trivandrum, India
Abstract :
In this paper, we present an effective pre-processing algorithm for band selection approach which is an essential task in hyperspectral image analysis. The pre-processing algorithm is developed based on the average inter-band block-wise correlation coefficient measure and a simple thresholding strategy. Here, the threshold parameter is found based on the standard deviation of the average inter-band block-wise correlation coefficients. The performance of the proposed algorithm is validated using the standard hyperspectral database created by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor. By comparing the detected bands with ground-truth annotations, we observed that the proposed algorithm identifies the noisy and water absorption bands in the high-dimensional hyperspectral images. The proposed algorithm achieves the classification accuracy of 94.73%.
Keywords :
image denoising; image sensors; infrared detectors; optical sensors; remote sensing; statistical analysis; AVIRIS sensor; airborne visible-infrared imaging spectrometer; average inter band block wise correlation coefficient; band selection; hyperspectral database; hyperspectral image analysis; hyperspectral imagery; inter band blockwise correlation coefficient; noisy spectral band detection; preprocessing algorithm; standard deviation; threshold parameter; thresholding strategy; Absorption; Algorithm design and analysis; Classification algorithms; Correlation; Hyperspectral imaging; Noise measurement; Hyperspectral Imagery; Inter-band Correlation Coefficient; Noisy Spectral Bands; Thresholding;
Conference_Titel :
Ocean Electronics (SYMPOL), 2011 International Symposium on
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-0263-0
DOI :
10.1109/SYMPOL.2011.6170495